Dive Brief:
- Points-only loyalty programs are largely obsolete for restaurant chains, according to Paytronix’s 2026 Loyalty Report. Instead, the most effective programs leverage experiential elements, AI analytics and targeted efforts to change specific consumer behaviors.
- Personalization based on artificial intelligence analytics, combined with gamified elements and tiers with different rewards options, can act as a modern superstructure atop points-based systems.
- Surveyed consumers said changes in menu quality (54%) and increases in prices (49%) are major detriments to loyalty and are top factors to stop visiting brands to which they were once loyal, according to Paytronix’s report.
Dive Insight:
While many brands are still adopting points-based programs, which offer consumers autonomy in redeeming items, major brands have begun to shift beyond them in recent years toward more complicated models. These often blend rewards tiers with gamified elements or chances to access exclusive experiences, like professional sports games.
What matters more than simply accumulating points, Paytronix argues, is the combined experience of a loyalty program and the rewards gained with those points.
“Points-only programs are static. Guests earn, redeem, and repeat,” Paytronix wrote. “Experience-driven programs are dynamic in that they learn, adapt, surprise, and delight based on individual behavior.”
The tech firm cited Starbucks, Chipotle and c-store Casey’s as examples of brands that have successfully built up new, experiential systems on top of points-based core programs.
Starbucks offers experiences like paid trips to Tokyo, Milan and Costa Rica as possible rewards for members of its highest tiers, Paytronix noted. Chipotle uses badge-based gamification to incentivize frequency, and uses AI to shape offers to consumers to push consumers to visit three times during their first 90 days as members, according to Yahoo News. Casey’s, meanwhile, derived one- third of all its transactions from its loyalty members and sends 200 million personalized communications through its loyalty system each month, Paytronix said.
Early engagement strategies like Chipotle’s “Welcome Journey” are particularly important for converting trials into durable loyalty. Paytronix identified the fourth visit as an indicator that consumers have become regulars. The return rate for guests is 95% after the fourth visit, which Patronix said is the threshold for habit formation.
“Your loyalty program’s most important job isn’t rewarding your best guests. It’s accelerating new guests to their fourth visit,” Paytronix said.
The report also asserts that artificial intelligence has matured in the restaurant loyalty space, becoming an essential aspect of new programs.
“AI-enabled loyalty programs can deliver 20% to 50% increases in guest lifetime value,” the report claims. In particular, predictive analytics using AI helps brands connect the “right guests with the right offers at the right time, rather than relying on broad segmentation and guesswork,” Paytronix wrote.
Generative artificial intelligence also makes it possible for marketers to generate messaging much more quickly.
The shift toward more complex, personalized loyalty systems is also a shift away from pure discounting — the core mechanic of points-based systems — in favor of systems that are meant to reinforce specific aspects of brand identity.
